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Multivariate decision trees [PDF]
Machine Learning, 1995 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Carla Brodley, Paul E. Utgoff
exaly +4 more sources
Evidential Decision Tree Based on Belief Entropy
Entropy, 2019 Decision Tree is widely applied in many areas, such as classification and recognition. Traditional information entropy and Pearson’s correlation coefficient are often applied as measures of splitting rules to find the best splitting attribute ...
Mujin Li, Honghui Xu, Yong Deng
doaj +2 more sources
A survey of decision tree classifier methodology
IEEE Transactions on Systems, Man, and Cybernetics, 1991 D Landgrebe
exaly +2 more sources
Tree of Thoughts: Deliberate Problem Solving with Large Language Models [PDF]
Neural Information Processing Systems, 2023 Language models are increasingly being deployed for general problem solving across a wide range of tasks, but are still confined to token-level, left-to-right decision-making processes during inference.
Shunyu Yao +6 more
semanticscholar +1 more source
Classification Based on Decision Tree Algorithm for Machine Learning
Journal of Applied Science and Technology Trends, 2021 Decision tree classifiers are regarded to be a standout of the most well-known methods to data classification representation of classifiers. Different researchers from various fields and backgrounds have considered the problem of extending a decision ...
Bahzad Charbuty, A. Abdulazeez
semanticscholar +1 more source
Tree in Tree: from Decision Trees to Decision Graphs
CoRR, 2021 Decision trees have been widely used as classifiers in many machine learning applications thanks to their lightweight and interpretable decision process. This paper introduces Tree in Tree decision graph (TnT), a framework that extends the conventional decision tree to a more generic and powerful directed acyclic graph.
Zhu, Bingzhao, Shoaran, Mahsa
openaire +4 more sources
Fast Sparse Decision Tree Optimization via Reference Ensembles [PDF]
AAAI Conference on Artificial Intelligence, 2021 Sparse decision tree optimization has been one of the most fundamental problems in AI since its inception and is a challenge at the core of interpretable machine learning.
Hayden McTavish +6 more
semanticscholar +1 more source
Music rhythm tree based partitioning approach to decision tree classifier
Journal of King Saud University: Computer and Information Sciences, 2022 Decision tree is a widely used non-parametric technique in machine learning, data mining and pattern recognition. It is simple to understand and interpret, however it faces challenges such as handling higher dimensional and class imbalanced datasets ...
Shankru Guggari +3 more
doaj +1 more source
Implementation of the Decission Tree Algorithm to Determine Credit Worthiness
Compiler, 2023 Credit is a loan from a bank that needs to be repaid with interest. In practice, problematic credit or bad credit often occurs due to less thorough credit analysis in the credit granting process, or from bad customers.
Abdussomad Abdussomad +2 more
doaj +1 more source
Decision Tree Algorithm-based API Misuse Detection [PDF]
Jisuanji kexue, 2022 Application programming interface(API) benefits to effectively improve software development efficiency by reusing existing software frameworks or libraries.However,many constraints must be satisfied to correctly use APIs,such as call order,exception ...
LI Kang-le, REN Zhi-lei, ZHOU Zhi-de, JIANG He
doaj +1 more source